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Can I read Survey of Text Mining II: Clustering, Classification, and Retrieval (No. 2) on EtoBox?

Survey of Text Mining II: Clustering, Classification, and Retrieval (No. 2) by Michael W Berry; Malu Castellanos; Society for Industrial and Applied Mathematics; International Workshop on Text Mining and its Applications; SIAM International Conference on Data Mining is a nonfiction available to read on EtoBox.

What is Survey of Text Mining II: Clustering, Classification, and Retrieval (No. 2) about?

As we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information. Finding inf- mation for just about any need has never been more automatic—just a keystroke or mouseclick away. While the digitalization and creation of textual materials continues at light speed, the ability to navigate, mine, or casually browse through documents too numerous to read (or print) lags far behind. What approaches to text mining are available to ef?ciently organize, classify, label, and extract relevant information for today’s information-centric users? What algorithms and software should be used to detect emerging trends from both text streamsandarchives?Thesearejustafewoftheimportantquestionsaddressedatthe Text Mining Workshop held on April 28, 2007, in Minneapolis, MN. This workshop, the ?fth in a series of annual workshops on text mining, was held on the ?nal day of the Seventh SIAM International Conference on Data Mining (April 26–28, 2007). With close to 60 applied mathematicians and computer scientists representing universities, industrial corporations, and government laboratories, the workshop f- tured both inv

Who reads Survey of Text Mining II: Clustering, Classification, and Retrieval (No. 2)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Michael W Berry; Malu Castellanos; Society for Industrial and Applied Mathematics; International Workshop on Text Mining and its Applications; SIAM International Conference on Data Mining
Publisher
Springer London : Imprint: Springer
Published
2008
Language
EN
ISBN
9781848000452
Category
nonfiction
Subjects
Management, Computer Science, Mathematics

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